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Application of MCTS to Pokémon Contest Spectacular, a bachelor's thesis project.
Python notebook divided into two sections: The first section shows the MTCS algorithm applied to a binary tree. Then it expands the study to an MTCS variant. The second section studies firstly the MonteCarlo algorithm for policy evaluation. Secondly, the implementation of a learning agent in a gridworld and then it analyzes the performance of SARSA and Q-Learning algorithms.